IP Library › Granted Patent US 12,253,433
Granted Patent B2
US 12,253,433 · App. 17/618,408 · Granted Mar 18, 2025

Gas monitoring device, method, and program

Inventor: Motohiro Asano (Osaka, JP)
Assignee: KONICA MINOLTA, INC.
G01M3/04G06T7/0008G08B21/12G08B25/00G06T2207/10048G06T2207/30108
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Quick Facts
Patent No.
US 12,253,433
App. No.
17/618,408
Granted
Mar 18, 2025
Kind
B2
Abstract

A gas monitoring device, a gas monitoring method, and a gas monitoring program detect presence or absence of a predetermined gas on the basis of an image obtained by imaging a monitoring target, receive an input of predetermined additional information including alarm activation presence/absence information representing whether or not to activate an alarm, and determine whether or not to suppress alarm activation of presence of gas detected in the detection on the basis of the additional information received.

Claims (31)

1. A gas monitoring device comprising:

a gas detector that detects presence or absence of a predetermined gas based on an image obtained by imaging a monitoring target; and

a hardware processor that:

receives, in response to detection of presence of gas by the gas detector, an input of predetermined additional information including (i) alarm activation presence/absence information representing whether or not to activate an alarm, and (ii) cause information representing a cause of the detection of the presence of gas by the gas detector; and

determines, based on the received additional information, whether or not to suppress activation of an alarm to be activated in response to the detection of the presence of gas by the gas detector.

2. The gas monitoring device according to claim 1 , wherein the hardware processor stores, as detection information, a detection part in which the presence of gas is detected by the gas detector in the image, in association with the received additional information.

3. The gas monitoring device according to claim 2 , wherein:

the gas detector detects presence or absence of gas for each of pixels of the image, and

the detection part is a pixel at a centroid position of a gas area formed by combining a plurality of pixels at positions adjacent to each other with presence of gas into one.

4. The gas monitoring device according to claim 2 , wherein the hardware processor suppresses alarm activation with respect to a pixel within a predetermined distance from the detection part when determining to suppress activation of the alarm.

5. The gas monitoring device according to claim 2 , wherein the hardware processor collectively receives an input of the additional information in a predetermined period.

6. The gas monitoring device according to claim 2 , wherein the hardware processor determines whether or not to suppress activation of the alarm based on an aggregation result obtained by aggregation in a predetermined aggregation unit of a number of times of detection in which the presence of gas is detected by the gas detector based on a plurality of images captured at a plurality of different times in a predetermined period.

7. The gas monitoring device according to claim 2 , wherein the hardware processor suppresses activation of the alarm for a predetermined period from a time point at which it is determined to suppress activation of the alarm.

8. The gas monitoring device according to claim 1 , wherein the hardware processor collectively receives an input of the additional information in a predetermined period.

9. The gas monitoring device according to claim 1 , wherein the hardware processor determines whether or not to suppress activation of the alarm based on an aggregation result obtained by aggregation of a number of times of detection in which the presence of gas is detected by the gas detector based on a plurality of images captured at a plurality of different times in a predetermined period.

10. The gas monitoring device according to claim 1 , wherein the hardware processor suppresses activation of the alarm for a predetermined period from a time point at which it is determined to suppress activation of the alarm.

11. The gas monitoring device according to claim 10 , wherein the hardware processor determines a length of the predetermined period, based on an aggregation result obtained by aggregating alarm activation presence/absence information representing that no alarm is to be activated, for each of the detection part and the additional information, for a predetermined period.

12. The gas monitoring device according to claim 1 , wherein the hardware processor displays detection information received and stored in the past.

13. The gas monitoring device according to claim 1 , further comprising a display that displays a suppression part in the image with respect to which it is determined by the hardware processor that activation of the alarm is to be suppressed.

14. The gas monitoring device according to claim 1 , wherein the hardware processor determines whether or not to activate the alarm in response to detection of the presence of gas by the gas detector, by using a machine learning model that determines whether or not to suppress activation of the alarm to be activated in response to the detection of the presence of gas by the gas detector, the machine learning model being subjected to machine learning based on the received additional information, for a predetermined period.

15. The gas monitoring device according to claim 1 , wherein the hardware processor controls to display, on a display in response to the detection of the presence of gas by the gas detector, an additional information input screen through which the input of the additional information is performed.

16. The gas monitoring device according to claim 15 , wherein the additional information input screen includes a gas detection image display area in which the image is displayed, and an additional information input area adapted to receive the input of the additional information.

17. A gas monitoring method comprising:

detecting presence or absence of a predetermined gas based on an image obtained by imaging a monitoring target;

in response to detection of presence of gas in the detecting, receiving an input of predetermined additional information including (i) alarm activation presence/absence information representing whether or not to activate an alarm, and (ii) cause information representing a cause of the detection of the presence of gas; and

determining, based on the received additional information, whether or not to suppress activation of an alarm to be activated in response to the detection of the presence of gas in the detecting.

18. A non-transitory recording medium storing a computer readable gas monitoring program that is executable by a computer to cause the computer to function as elements comprising:

a gas detector that detects presence or absence of a predetermined gas based on an image obtained by imaging a monitoring target; and

a hardware processor that:

receives, in response to detection of presence of gas by the gas detector, an input of predetermined additional information including (i) alarm activation presence/absence information representing whether or not to activate an alarm, and (ii) cause information representing a cause of the detection of the presence of gas by the gas detector;

determines, based on the received additional information, whether or not to suppress alarm activation of an alarm to be activated in response to the detection of the presence of gas by the gas detector.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 11, 2021
From: ASANO, MOTOHIRO
To: KONICA MINOLTA, INC.
Reel/Frame 058365/0914 →
Priority Claims (1)
JP 2019-108534 · Jun 11, 2019 · national
Continuity (1)
Related Publication 20220291069A1 · Sep 15, 2022
References Cited (16)
US 10145788B2 · Asano et al. · 2018 [cited by applicant]
US 10520429B2 · Asano et al. · 2019 [cited by applicant]
US 20060220888A1 · Germouni et al. · 2006 [cited by applicant]
US 20080092625A1 · Hinnrichs · 2008 [cited by examiner]
US 20190113414A1 · Tsuzuki et al. · 2019 [cited by applicant]
US 20200209095A1 · Swissa · 2020 [cited by examiner]
JP 2000101987A · 2000 [cited by applicant]
JP 6245418B2 · 2017 [cited by applicant]
WO 2014176693A1 · 2014 [cited by applicant]
WO 2018110036A1 · 2018 [cited by applicant]
WO 2019021283A1 · 2019 [cited by applicant]
WO 2019044898A1 · 2019 [cited by applicant]
Translation of Written Opinion dated Mar. 3, 2020, issued in International Application No. PCT/JP2019/048710. [cited by applicant]
International Search Report (ISR) (and English language translation thereof) dated Mar. 3, 2020, issued in International Application No. PCT/JP2019/048710. [cited by applicant]
Written Opinion dated Mar. 3, 2020, issued in International Application No. PCT/JP2019/048710. [cited by applicant]
Extended European Search Report (EESR) dated Jun. 20, 2022, issued in counterpart European Application No. 19932817.0. [cited by applicant]